在官方统计中实施智能统计工具包

О. H. Osaulenko, О. О. Horobets
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引用次数: 0

摘要

解决了智能统计的重要问题。智能统计工具包分析:大数据,人工智能和物联网数据,社交媒体,行政数据。该研究涉及智能统计的概念化,并确定使用智能统计数据的官方统计的优势和威胁。提出了一套操作大数据的原则,根据官方统计和社会(农业、卫生防护、采矿业、机械工程、教育、电力工业)当前的需求,对大数据产生的来源进行分类(符合经济活动)。构建智慧城市的智能数据系统,包括智能家居、智能环境、智能控制、智能交通、智能健康、智能市民等组成部分。确定了该系统的目标是通过节省时间、能源和金钱来创造智能环境,简化生活方式。确定了个性化数据收集和传播的组成部分。人工智能(AI)被认为是智能统计概念的组成部分。在本文的背景下,作者观察到,使用人工智能会引发有关数据产权、数据透明度和问责制等问题的伦理话语。为了确保官方统计数据以负责任和合乎道德的方式使用人工智能技术,这些话语需要得到解释。根据这项研究的结果,得出的结论是,现在必须制订合乎逻辑和适当的办法,以拟订一种收集、处理、分组和分析其他资料来源的统计数据的方法。有人认为,尽管智能统计工具包具有优势,其在官方统计中实施的潜在积极结果,但鉴于战争条件和缺乏使用监管框架,目前乌克兰尚未准备好面对其中涉及的威胁。关于这一主题的进一步研究必须侧重于深入分析智能统计,并寻找在乌克兰官方统计中实施其工具包的最佳方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing Smart Statistics Toolkit in the Official Statistics
Important issues of Smart statistics are addressed. The Smart statistics toolkit is analyzed: big data, data of artificial intellect and Internet of things, social media, and administrative data.  The study involves conceptualization of the Smart statistics and identification of advantages and threats for the official statistics in using Smart statistics data. A set of principles for operating big data are proposed, with categorizing the sources of big data generation (in conformity with the economic activities), presently demanded by the official statistics and the society (agriculture, health protection, mining industry, mechanical engineering, education, power industry). A smart data system in smart cities is developed, containing the following components: smart house, smart environment, smart control, smart traffic, smart health, and smart citizen. It is determined that the system’s objective is to create the smart environment and simplify the way of life through saving time, energy and money. The components of personalized collection and dissemination of data are determined.    The artificial intelligence (AI) is considered as a component of the Smart statistics conception. In this article’s context, the authors observe that using AI causes ethical discourses on issues such as property right for data, transparence and accountability of data. These discourses need to accounted for, in order to assure that AI technologies are used by the official statistics in a responsible and ethical manner.  Based on the results of the study, it is concluded that now it is necessary to create logical and adequate approaches to elaborating a methodology for collection, processing, grouping and analysis of statistical data from alternative information sources. It is argued that in spite of the advantages of the smart statistics toolkit and potentially positive results of its implementation in the official statistics, present-day Ukraine is not ready to face the threats involved in it given the war conditions and lack of a regulatory framework for its use. Further studies on this theme have to focus on in-depth analysis of Smart statistics and search for optimal ways for implementing its toolkit in the official statistics of Ukraine.
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